Overview

Dataset statistics

Number of variables17
Number of observations174
Missing cells543
Missing cells (%)18.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.2 KiB
Average record size in memory136.7 B

Variable types

Numeric5
Text7
Categorical1
DateTime3
Unsupported1

Alerts

airdate has constant value ""Constant
id is highly overall correlated with id_embeddedHigh correlation
id_embedded is highly overall correlated with id and 1 other fieldsHigh correlation
season is highly overall correlated with id_embeddedHigh correlation
number is highly overall correlated with typeHigh correlation
type is highly overall correlated with numberHigh correlation
type is highly imbalanced (86.4%)Imbalance
number has 5 (2.9%) missing valuesMissing
airtime has 115 (66.1%) missing valuesMissing
runtime has 2 (1.1%) missing valuesMissing
rating_average has 174 (100.0%) missing valuesMissing
medium has 78 (44.8%) missing valuesMissing
original has 78 (44.8%) missing valuesMissing
summary has 91 (52.3%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-06 03:03:44.681930
Analysis finished2023-08-06 03:03:49.071279
Duration4.39 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct174
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2457357.3
Minimum2330734
Maximum2582371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T22:03:49.352480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2330734
5-th percentile2424644.5
Q12450233
median2458300.5
Q32462715.2
95-th percentile2472893.4
Maximum2582371
Range251637
Interquartile range (IQR)12482.25

Descriptive statistics

Standard deviation24998.681
Coefficient of variation (CV)0.010172994
Kurtosis11.843338
Mean2457357.3
Median Absolute Deviation (MAD)5642
Skewness1.0614
Sum4.2758016 × 108
Variance6.2493407 × 108
MonotonicityNot monotonic
2023-08-05T22:03:49.548730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2455598 1
 
0.6%
2447498 1
 
0.6%
2440749 1
 
0.6%
2440750 1
 
0.6%
2440751 1
 
0.6%
2440752 1
 
0.6%
2446159 1
 
0.6%
2447495 1
 
0.6%
2447496 1
 
0.6%
2447497 1
 
0.6%
Other values (164) 164
94.3%
ValueCountFrequency (%)
2330734 1
0.6%
2393556 1
0.6%
2404591 1
0.6%
2406243 1
0.6%
2406249 1
0.6%
2409368 1
0.6%
2413299 1
0.6%
2416838 1
0.6%
2418851 1
0.6%
2427764 1
0.6%
ValueCountFrequency (%)
2582371 1
0.6%
2574166 1
0.6%
2569207 1
0.6%
2536876 1
0.6%
2521742 1
0.6%
2513105 1
0.6%
2502111 1
0.6%
2484868 1
0.6%
2472894 1
0.6%
2472893 1
0.6%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62342.138
Minimum8035
Maximum69389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T22:03:49.739280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8035
5-th percentile49170.65
Q161565
median65679
Q366153
95-th percentile66387
Maximum69389
Range61354
Interquartile range (IQR)4588

Descriptive statistics

Standard deviation8209.9163
Coefficient of variation (CV)0.13169128
Kurtosis19.615487
Mean62342.138
Median Absolute Deviation (MAD)646.5
Skewness-3.9098848
Sum10847532
Variance67402725
MonotonicityNot monotonic
2023-08-05T22:03:49.939650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65679 10
 
5.7%
65502 8
 
4.6%
66097 8
 
4.6%
59930 8
 
4.6%
56603 8
 
4.6%
66369 7
 
4.0%
66136 6
 
3.4%
66204 5
 
2.9%
66387 4
 
2.3%
65842 4
 
2.3%
Other values (80) 106
60.9%
ValueCountFrequency (%)
8035 1
0.6%
12060 1
0.6%
29742 1
0.6%
39890 1
0.6%
41530 1
0.6%
42287 1
0.6%
43887 1
0.6%
45039 1
0.6%
49053 1
0.6%
49234 1
0.6%
ValueCountFrequency (%)
69389 1
 
0.6%
68441 1
 
0.6%
67998 1
 
0.6%
66819 1
 
0.6%
66444 2
 
1.1%
66441 1
 
0.6%
66388 1
 
0.6%
66387 4
2.3%
66382 2
 
1.1%
66369 7
4.0%

url
Text

UNIQUE 

Distinct174
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T22:03:50.309773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length154
Median length101.5
Mean length78.683908
Min length61

Characters and Unicode

Total characters13691
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2455598/restoran-po-ponatiam-s02-special-restoran-po-ponatiam-bednyj-oligarh
2nd rowhttps://www.tvmaze.com/episodes/2455596/bednyj-oligarh-s01-special-restoran-po-ponatiam-bednyj-oligarh
3rd rowhttps://www.tvmaze.com/episodes/2458307/martyskiny-1x21-mamina-vecerinka
4th rowhttps://www.tvmaze.com/episodes/2458308/martyskiny-1x22-taksi-semejka
5th rowhttps://www.tvmaze.com/episodes/2521742/engineering-reborn-1x06-episode-6
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2455598/restoran-po-ponatiam-s02-special-restoran-po-ponatiam-bednyj-oligarh 1
 
0.6%
https://www.tvmaze.com/episodes/2450266/qi-refining-for-3000-years-1x14-episode-14 1
 
0.6%
https://www.tvmaze.com/episodes/2451982/love-alarm-clap-clap-clap-1x04-episode-4 1
 
0.6%
https://www.tvmaze.com/episodes/2458307/martyskiny-1x21-mamina-vecerinka 1
 
0.6%
https://www.tvmaze.com/episodes/2458308/martyskiny-1x22-taksi-semejka 1
 
0.6%
https://www.tvmaze.com/episodes/2521742/engineering-reborn-1x06-episode-6 1
 
0.6%
https://www.tvmaze.com/episodes/2445489/wanmei-shijie-1x91-episode-91 1
 
0.6%
https://www.tvmaze.com/episodes/2463639/supreme-god-emperor-1x235-episode-235 1
 
0.6%
https://www.tvmaze.com/episodes/2330734/against-the-sky-supreme-1x158-episode-158 1
 
0.6%
https://www.tvmaze.com/episodes/2513105/jiu-tian-xuan-di-jue-3x18-episode-110 1
 
0.6%
Other values (164) 164
94.3%
2023-08-05T22:03:50.787161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1171
 
8.6%
- 1042
 
7.6%
s 884
 
6.5%
/ 870
 
6.4%
t 813
 
5.9%
o 755
 
5.5%
w 580
 
4.2%
a 580
 
4.2%
i 563
 
4.1%
p 519
 
3.8%
Other values (30) 5914
43.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9368
68.4%
Decimal Number 1889
 
13.8%
Other Punctuation 1392
 
10.2%
Dash Punctuation 1042
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1171
12.5%
s 884
 
9.4%
t 813
 
8.7%
o 755
 
8.1%
w 580
 
6.2%
a 580
 
6.2%
i 563
 
6.0%
p 519
 
5.5%
m 482
 
5.1%
d 363
 
3.9%
Other values (16) 2658
28.4%
Decimal Number
ValueCountFrequency (%)
2 331
17.5%
4 309
16.4%
1 297
15.7%
0 243
12.9%
5 160
8.5%
3 130
 
6.9%
6 124
 
6.6%
8 111
 
5.9%
7 94
 
5.0%
9 90
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 870
62.5%
. 348
 
25.0%
: 174
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 1042
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9368
68.4%
Common 4323
31.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1171
12.5%
s 884
 
9.4%
t 813
 
8.7%
o 755
 
8.1%
w 580
 
6.2%
a 580
 
6.2%
i 563
 
6.0%
p 519
 
5.5%
m 482
 
5.1%
d 363
 
3.9%
Other values (16) 2658
28.4%
Common
ValueCountFrequency (%)
- 1042
24.1%
/ 870
20.1%
. 348
 
8.0%
2 331
 
7.7%
4 309
 
7.1%
1 297
 
6.9%
0 243
 
5.6%
: 174
 
4.0%
5 160
 
3.7%
3 130
 
3.0%
Other values (4) 419
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13691
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1171
 
8.6%
- 1042
 
7.6%
s 884
 
6.5%
/ 870
 
6.4%
t 813
 
5.9%
o 755
 
5.5%
w 580
 
4.2%
a 580
 
4.2%
i 563
 
4.1%
p 519
 
3.8%
Other values (30) 5914
43.2%

name
Text

Distinct129
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T22:03:51.178070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length50
Mean length15.551724
Min length6

Characters and Unicode

Total characters2706
Distinct characters119
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)64.9%

Sample

1st rowРесторан по понятиям: Бедный олигарх
2nd rowРесторан по понятиям: Бедный олигарх
3rd rowМамина вечеринка
4th rowТакси - семейка.
5th rowEpisode 6
ValueCountFrequency (%)
episode 80
 
16.4%
the 15
 
3.1%
1 9
 
1.8%
4 9
 
1.8%
2 8
 
1.6%
3 7
 
1.4%
folge 7
 
1.4%
la 6
 
1.2%
10 6
 
1.2%
6
 
1.2%
Other values (271) 334
68.6%
2023-08-05T22:03:51.755333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
313
 
11.6%
e 242
 
8.9%
o 181
 
6.7%
i 170
 
6.3%
s 167
 
6.2%
a 117
 
4.3%
d 114
 
4.2%
p 101
 
3.7%
r 95
 
3.5%
E 92
 
3.4%
Other values (109) 1114
41.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1902
70.3%
Space Separator 313
 
11.6%
Uppercase Letter 302
 
11.2%
Decimal Number 139
 
5.1%
Other Punctuation 39
 
1.4%
Dash Punctuation 4
 
0.1%
Math Symbol 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 242
12.7%
o 181
 
9.5%
i 170
 
8.9%
s 167
 
8.8%
a 117
 
6.2%
d 114
 
6.0%
p 101
 
5.3%
r 95
 
5.0%
n 81
 
4.3%
t 75
 
3.9%
Other values (48) 559
29.4%
Uppercase Letter
ValueCountFrequency (%)
E 92
30.5%
B 20
 
6.6%
T 19
 
6.3%
P 16
 
5.3%
M 15
 
5.0%
C 14
 
4.6%
L 14
 
4.6%
S 13
 
4.3%
H 11
 
3.6%
F 11
 
3.6%
Other values (25) 77
25.5%
Decimal Number
ValueCountFrequency (%)
1 36
25.9%
2 22
15.8%
4 17
12.2%
3 15
10.8%
0 12
 
8.6%
5 10
 
7.2%
6 8
 
5.8%
9 8
 
5.8%
7 6
 
4.3%
8 5
 
3.6%
Other Punctuation
ValueCountFrequency (%)
" 12
30.8%
, 7
17.9%
. 5
12.8%
' 4
 
10.3%
! 3
 
7.7%
: 3
 
7.7%
¡ 2
 
5.1%
/ 1
 
2.6%
¿ 1
 
2.6%
? 1
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
313
100.0%
Math Symbol
ValueCountFrequency (%)
| 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1967
72.7%
Common 502
 
18.6%
Cyrillic 237
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 242
 
12.3%
o 181
 
9.2%
i 170
 
8.6%
s 167
 
8.5%
a 117
 
5.9%
d 114
 
5.8%
p 101
 
5.1%
r 95
 
4.8%
E 92
 
4.7%
n 81
 
4.1%
Other values (47) 607
30.9%
Cyrillic
ValueCountFrequency (%)
а 30
 
12.7%
о 20
 
8.4%
е 19
 
8.0%
н 19
 
8.0%
и 15
 
6.3%
с 13
 
5.5%
р 12
 
5.1%
к 10
 
4.2%
т 9
 
3.8%
м 9
 
3.8%
Other values (26) 81
34.2%
Common
ValueCountFrequency (%)
313
62.4%
1 36
 
7.2%
2 22
 
4.4%
4 17
 
3.4%
3 15
 
3.0%
0 12
 
2.4%
" 12
 
2.4%
5 10
 
2.0%
6 8
 
1.6%
9 8
 
1.6%
Other values (16) 49
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2448
90.5%
Cyrillic 237
 
8.8%
None 20
 
0.7%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
313
 
12.8%
e 242
 
9.9%
o 181
 
7.4%
i 170
 
6.9%
s 167
 
6.8%
a 117
 
4.8%
d 114
 
4.7%
p 101
 
4.1%
r 95
 
3.9%
E 92
 
3.8%
Other values (61) 856
35.0%
Cyrillic
ValueCountFrequency (%)
а 30
 
12.7%
о 20
 
8.4%
е 19
 
8.0%
н 19
 
8.0%
и 15
 
6.3%
с 13
 
5.5%
р 12
 
5.1%
к 10
 
4.2%
т 9
 
3.8%
м 9
 
3.8%
Other values (26) 81
34.2%
None
ValueCountFrequency (%)
é 5
25.0%
ó 4
20.0%
¡ 2
 
10.0%
á 2
 
10.0%
ü 1
 
5.0%
è 1
 
5.0%
Ä 1
 
5.0%
í 1
 
5.0%
¿ 1
 
5.0%
ú 1
 
5.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.683908
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T22:03:51.948453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4.35
Maximum18
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.9732531
Coefficient of variation (CV)1.1718295
Kurtosis36.397972
Mean1.683908
Median Absolute Deviation (MAD)0
Skewness5.4761239
Sum293
Variance3.893728
MonotonicityNot monotonic
2023-08-05T22:03:52.131736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 124
71.3%
2 33
 
19.0%
3 6
 
3.4%
5 3
 
1.7%
4 2
 
1.1%
14 1
 
0.6%
6 1
 
0.6%
8 1
 
0.6%
18 1
 
0.6%
7 1
 
0.6%
ValueCountFrequency (%)
1 124
71.3%
2 33
 
19.0%
3 6
 
3.4%
4 2
 
1.1%
5 3
 
1.7%
6 1
 
0.6%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
14 1
 
0.6%
ValueCountFrequency (%)
18 1
 
0.6%
14 1
 
0.6%
9 1
 
0.6%
8 1
 
0.6%
7 1
 
0.6%
6 1
 
0.6%
5 3
 
1.7%
4 2
 
1.1%
3 6
 
3.4%
2 33
19.0%

number
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct41
Distinct (%)24.3%
Missing5
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean13.224852
Minimum1
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T22:03:52.320959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q310
95-th percentile42.4
Maximum235
Range234
Interquartile range (IQR)7

Descriptive statistics

Standard deviation26.767902
Coefficient of variation (CV)2.0240606
Kurtosis36.019825
Mean13.224852
Median Absolute Deviation (MAD)3
Skewness5.4866127
Sum2235
Variance716.52057
MonotonicityNot monotonic
2023-08-05T22:03:52.509349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4 18
10.3%
3 17
9.8%
1 16
 
9.2%
8 14
 
8.0%
2 13
 
7.5%
5 12
 
6.9%
6 12
 
6.9%
7 11
 
6.3%
10 8
 
4.6%
9 6
 
3.4%
Other values (31) 42
24.1%
ValueCountFrequency (%)
1 16
9.2%
2 13
7.5%
3 17
9.8%
4 18
10.3%
5 12
6.9%
6 12
6.9%
7 11
6.3%
8 14
8.0%
9 6
 
3.4%
10 8
4.6%
ValueCountFrequency (%)
235 1
0.6%
158 1
0.6%
145 1
0.6%
93 1
0.6%
91 1
0.6%
64 1
0.6%
54 1
0.6%
51 1
0.6%
46 1
0.6%
37 1
0.6%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
regular
169 
significant_special
 
3
insignificant_special
 
2

Length

Max length21
Median length7
Mean length7.3678161
Min length7

Characters and Unicode

Total characters1282
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowinsignificant_special
2nd rowinsignificant_special
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 169
97.1%
significant_special 3
 
1.7%
insignificant_special 2
 
1.1%

Length

2023-08-05T22:03:52.719600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T22:03:52.863019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 169
97.1%
significant_special 3
 
1.7%
insignificant_special 2
 
1.1%

Most occurring characters

ValueCountFrequency (%)
r 338
26.4%
a 179
14.0%
e 174
13.6%
g 174
13.6%
l 174
13.6%
u 169
13.2%
i 22
 
1.7%
n 12
 
0.9%
s 10
 
0.8%
c 10
 
0.8%
Other values (4) 20
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1277
99.6%
Connector Punctuation 5
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 338
26.5%
a 179
14.0%
e 174
13.6%
g 174
13.6%
l 174
13.6%
u 169
13.2%
i 22
 
1.7%
n 12
 
0.9%
s 10
 
0.8%
c 10
 
0.8%
Other values (3) 15
 
1.2%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1277
99.6%
Common 5
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 338
26.5%
a 179
14.0%
e 174
13.6%
g 174
13.6%
l 174
13.6%
u 169
13.2%
i 22
 
1.7%
n 12
 
0.9%
s 10
 
0.8%
c 10
 
0.8%
Other values (3) 15
 
1.2%
Common
ValueCountFrequency (%)
_ 5
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 338
26.4%
a 179
14.0%
e 174
13.6%
g 174
13.6%
l 174
13.6%
u 169
13.2%
i 22
 
1.7%
n 12
 
0.9%
s 10
 
0.8%
c 10
 
0.8%
Other values (4) 20
 
1.6%

airdate
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2022-12-30 00:00:00
Maximum2022-12-30 00:00:00
2023-08-05T22:03:52.983227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:53.118009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

airtime
Date

MISSING 

Distinct14
Distinct (%)23.7%
Missing115
Missing (%)66.1%
Memory size1.5 KiB
Minimum2023-08-05 10:00:00
Maximum2023-08-05 22:00:00
2023-08-05T22:03:53.256315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:53.389891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
Distinct21
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2022-12-30 00:00:00+00:00
Maximum2022-12-30 19:30:00+00:00
2023-08-05T22:03:53.554202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:53.725783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

runtime
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)27.9%
Missing2
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean32.238372
Minimum2
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T22:03:53.907724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q115
median33
Q345
95-th percentile52.9
Maximum165
Range163
Interquartile range (IQR)30

Descriptive statistics

Standard deviation20.805873
Coefficient of variation (CV)0.64537605
Kurtosis12.287323
Mean32.238372
Median Absolute Deviation (MAD)12
Skewness2.2507305
Sum5545
Variance432.88437
MonotonicityNot monotonic
2023-08-05T22:03:54.142971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
45 21
 
12.1%
10 11
 
6.3%
24 11
 
6.3%
8 11
 
6.3%
30 7
 
4.0%
50 6
 
3.4%
25 6
 
3.4%
44 6
 
3.4%
15 5
 
2.9%
9 5
 
2.9%
Other values (38) 83
47.7%
ValueCountFrequency (%)
2 1
 
0.6%
5 2
 
1.1%
6 4
 
2.3%
7 4
 
2.3%
8 11
6.3%
9 5
2.9%
10 11
6.3%
12 2
 
1.1%
15 5
2.9%
16 1
 
0.6%
ValueCountFrequency (%)
165 1
 
0.6%
139 1
 
0.6%
95 1
 
0.6%
57 1
 
0.6%
55 4
2.3%
54 1
 
0.6%
52 2
 
1.1%
51 2
 
1.1%
50 6
3.4%
49 2
 
1.1%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing174
Missing (%)100.0%
Memory size1.5 KiB

medium
Text

MISSING 

Distinct96
Distinct (%)100.0%
Missing78
Missing (%)44.8%
Memory size1.5 KiB
2023-08-05T22:03:54.435464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters7008
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/437/1092573.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/437/1092574.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/438/1095716.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/438/1095735.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/438/1095619.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/437/1092573.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/438/1095368.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/438/1095716.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/438/1095735.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/438/1095619.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/438/1095620.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/438/1095642.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/438/1096250.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/442/1106079.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/medium_landscape/442/1106080.jpg 1
 
1.0%
Other values (86) 86
89.6%
2023-08-05T22:03:54.875963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 672
 
9.6%
a 576
 
8.2%
t 480
 
6.8%
s 480
 
6.8%
m 480
 
6.8%
p 384
 
5.5%
e 384
 
5.5%
. 288
 
4.1%
c 288
 
4.1%
d 288
 
4.1%
Other values (22) 2688
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4896
69.9%
Other Punctuation 1056
 
15.1%
Decimal Number 960
 
13.7%
Connector Punctuation 96
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 576
11.8%
t 480
9.8%
s 480
9.8%
m 480
9.8%
p 384
 
7.8%
e 384
 
7.8%
c 288
 
5.9%
d 288
 
5.9%
i 288
 
5.9%
g 192
 
3.9%
Other values (8) 1056
21.6%
Decimal Number
ValueCountFrequency (%)
4 182
19.0%
1 171
17.8%
0 132
13.8%
3 97
10.1%
5 92
9.6%
8 91
9.5%
9 89
9.3%
6 51
 
5.3%
7 31
 
3.2%
2 24
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 672
63.6%
. 288
27.3%
: 96
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4896
69.9%
Common 2112
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 576
11.8%
t 480
9.8%
s 480
9.8%
m 480
9.8%
p 384
 
7.8%
e 384
 
7.8%
c 288
 
5.9%
d 288
 
5.9%
i 288
 
5.9%
g 192
 
3.9%
Other values (8) 1056
21.6%
Common
ValueCountFrequency (%)
/ 672
31.8%
. 288
13.6%
4 182
 
8.6%
1 171
 
8.1%
0 132
 
6.2%
3 97
 
4.6%
_ 96
 
4.5%
: 96
 
4.5%
5 92
 
4.4%
8 91
 
4.3%
Other values (4) 195
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7008
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 672
 
9.6%
a 576
 
8.2%
t 480
 
6.8%
s 480
 
6.8%
m 480
 
6.8%
p 384
 
5.5%
e 384
 
5.5%
. 288
 
4.1%
c 288
 
4.1%
d 288
 
4.1%
Other values (22) 2688
38.4%

original
Text

MISSING 

Distinct96
Distinct (%)100.0%
Missing78
Missing (%)44.8%
Memory size1.5 KiB
2023-08-05T22:03:55.172112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters7200
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/437/1092573.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/437/1092574.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/438/1095716.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/438/1095735.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/438/1095619.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/437/1092573.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/438/1095368.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/438/1095716.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/438/1095735.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/438/1095619.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/438/1095620.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/438/1095642.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/438/1096250.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/442/1106079.jpg 1
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/442/1106080.jpg 1
 
1.0%
Other values (86) 86
89.6%
2023-08-05T22:03:55.620018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 672
 
9.3%
t 576
 
8.0%
a 480
 
6.7%
s 384
 
5.3%
i 384
 
5.3%
o 384
 
5.3%
p 288
 
4.0%
c 288
 
4.0%
. 288
 
4.0%
g 288
 
4.0%
Other values (23) 3168
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5088
70.7%
Other Punctuation 1056
 
14.7%
Decimal Number 960
 
13.3%
Connector Punctuation 96
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 576
 
11.3%
a 480
 
9.4%
s 384
 
7.5%
i 384
 
7.5%
o 384
 
7.5%
p 288
 
5.7%
c 288
 
5.7%
g 288
 
5.7%
m 288
 
5.7%
e 288
 
5.7%
Other values (9) 1440
28.3%
Decimal Number
ValueCountFrequency (%)
4 182
19.0%
1 171
17.8%
0 132
13.8%
3 97
10.1%
5 92
9.6%
8 91
9.5%
9 89
9.3%
6 51
 
5.3%
7 31
 
3.2%
2 24
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 672
63.6%
. 288
27.3%
: 96
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5088
70.7%
Common 2112
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 576
 
11.3%
a 480
 
9.4%
s 384
 
7.5%
i 384
 
7.5%
o 384
 
7.5%
p 288
 
5.7%
c 288
 
5.7%
g 288
 
5.7%
m 288
 
5.7%
e 288
 
5.7%
Other values (9) 1440
28.3%
Common
ValueCountFrequency (%)
/ 672
31.8%
. 288
13.6%
4 182
 
8.6%
1 171
 
8.1%
0 132
 
6.2%
3 97
 
4.6%
: 96
 
4.5%
_ 96
 
4.5%
5 92
 
4.4%
8 91
 
4.3%
Other values (4) 195
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 672
 
9.3%
t 576
 
8.0%
a 480
 
6.7%
s 384
 
5.3%
i 384
 
5.3%
o 384
 
5.3%
p 288
 
4.0%
c 288
 
4.0%
. 288
 
4.0%
g 288
 
4.0%
Other values (23) 3168
44.0%

_links_self
Text

UNIQUE 

Distinct174
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T22:03:55.899599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters6786
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2455598
2nd rowhttps://api.tvmaze.com/episodes/2455596
3rd rowhttps://api.tvmaze.com/episodes/2458307
4th rowhttps://api.tvmaze.com/episodes/2458308
5th rowhttps://api.tvmaze.com/episodes/2521742
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2455598 1
 
0.6%
https://api.tvmaze.com/episodes/2450266 1
 
0.6%
https://api.tvmaze.com/episodes/2451982 1
 
0.6%
https://api.tvmaze.com/episodes/2458307 1
 
0.6%
https://api.tvmaze.com/episodes/2458308 1
 
0.6%
https://api.tvmaze.com/episodes/2521742 1
 
0.6%
https://api.tvmaze.com/episodes/2445489 1
 
0.6%
https://api.tvmaze.com/episodes/2463639 1
 
0.6%
https://api.tvmaze.com/episodes/2330734 1
 
0.6%
https://api.tvmaze.com/episodes/2513105 1
 
0.6%
Other values (164) 164
94.3%
2023-08-05T22:03:56.317897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 696
 
10.3%
p 522
 
7.7%
s 522
 
7.7%
e 522
 
7.7%
t 522
 
7.7%
o 348
 
5.1%
a 348
 
5.1%
i 348
 
5.1%
. 348
 
5.1%
m 348
 
5.1%
Other values (16) 2262
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4350
64.1%
Other Punctuation 1218
 
17.9%
Decimal Number 1218
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 522
12.0%
s 522
12.0%
e 522
12.0%
t 522
12.0%
o 348
8.0%
a 348
8.0%
i 348
8.0%
m 348
8.0%
h 174
 
4.0%
d 174
 
4.0%
Other values (3) 522
12.0%
Decimal Number
ValueCountFrequency (%)
4 263
21.6%
2 246
20.2%
5 128
10.5%
6 99
 
8.1%
0 92
 
7.6%
8 86
 
7.1%
1 84
 
6.9%
3 78
 
6.4%
7 73
 
6.0%
9 69
 
5.7%
Other Punctuation
ValueCountFrequency (%)
/ 696
57.1%
. 348
28.6%
: 174
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 4350
64.1%
Common 2436
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 696
28.6%
. 348
14.3%
4 263
 
10.8%
2 246
 
10.1%
: 174
 
7.1%
5 128
 
5.3%
6 99
 
4.1%
0 92
 
3.8%
8 86
 
3.5%
1 84
 
3.4%
Other values (3) 220
 
9.0%
Latin
ValueCountFrequency (%)
p 522
12.0%
s 522
12.0%
e 522
12.0%
t 522
12.0%
o 348
8.0%
a 348
8.0%
i 348
8.0%
m 348
8.0%
h 174
 
4.0%
d 174
 
4.0%
Other values (3) 522
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6786
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 696
 
10.3%
p 522
 
7.7%
s 522
 
7.7%
e 522
 
7.7%
t 522
 
7.7%
o 348
 
5.1%
a 348
 
5.1%
i 348
 
5.1%
. 348
 
5.1%
m 348
 
5.1%
Other values (16) 2262
33.3%
Distinct90
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T22:03:56.597795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.994253
Min length33

Characters and Unicode

Total characters5915
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)33.9%

Sample

1st rowhttps://api.tvmaze.com/shows/59201
2nd rowhttps://api.tvmaze.com/shows/63188
3rd rowhttps://api.tvmaze.com/shows/64335
4th rowhttps://api.tvmaze.com/shows/64335
5th rowhttps://api.tvmaze.com/shows/67998
ValueCountFrequency (%)
https://api.tvmaze.com/shows/65679 10
 
5.7%
https://api.tvmaze.com/shows/66097 8
 
4.6%
https://api.tvmaze.com/shows/59930 8
 
4.6%
https://api.tvmaze.com/shows/56603 8
 
4.6%
https://api.tvmaze.com/shows/65502 8
 
4.6%
https://api.tvmaze.com/shows/66369 7
 
4.0%
https://api.tvmaze.com/shows/66136 6
 
3.4%
https://api.tvmaze.com/shows/66204 5
 
2.9%
https://api.tvmaze.com/shows/66144 4
 
2.3%
https://api.tvmaze.com/shows/66266 4
 
2.3%
Other values (80) 106
60.9%
2023-08-05T22:03:57.032284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 696
 
11.8%
s 522
 
8.8%
t 522
 
8.8%
h 348
 
5.9%
p 348
 
5.9%
a 348
 
5.9%
. 348
 
5.9%
o 348
 
5.9%
m 348
 
5.9%
6 273
 
4.6%
Other values (16) 1814
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3828
64.7%
Other Punctuation 1218
 
20.6%
Decimal Number 869
 
14.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 522
13.6%
t 522
13.6%
h 348
9.1%
p 348
9.1%
a 348
9.1%
o 348
9.1%
m 348
9.1%
e 174
 
4.5%
w 174
 
4.5%
c 174
 
4.5%
Other values (3) 522
13.6%
Decimal Number
ValueCountFrequency (%)
6 273
31.4%
5 103
 
11.9%
9 79
 
9.1%
3 76
 
8.7%
2 68
 
7.8%
4 68
 
7.8%
0 65
 
7.5%
8 50
 
5.8%
1 46
 
5.3%
7 41
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/ 696
57.1%
. 348
28.6%
: 174
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 3828
64.7%
Common 2087
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 696
33.3%
. 348
16.7%
6 273
 
13.1%
: 174
 
8.3%
5 103
 
4.9%
9 79
 
3.8%
3 76
 
3.6%
2 68
 
3.3%
4 68
 
3.3%
0 65
 
3.1%
Other values (3) 137
 
6.6%
Latin
ValueCountFrequency (%)
s 522
13.6%
t 522
13.6%
h 348
9.1%
p 348
9.1%
a 348
9.1%
o 348
9.1%
m 348
9.1%
e 174
 
4.5%
w 174
 
4.5%
c 174
 
4.5%
Other values (3) 522
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5915
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 696
 
11.8%
s 522
 
8.8%
t 522
 
8.8%
h 348
 
5.9%
p 348
 
5.9%
a 348
 
5.9%
. 348
 
5.9%
o 348
 
5.9%
m 348
 
5.9%
6 273
 
4.6%
Other values (16) 1814
30.7%

summary
Text

MISSING 

Distinct83
Distinct (%)100.0%
Missing91
Missing (%)52.3%
Memory size1.5 KiB
2023-08-05T22:03:57.480795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1411
Median length163
Mean length164.19277
Min length57

Characters and Unicode

Total characters13628
Distinct characters80
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)100.0%

Sample

1st row<p>First constructed in the 1930s, the West Side Line, an elevated viaduct section of the New York Central Railroad, was abandoned in the 1980s.</p>
2nd row<p>Won Mi-ho is the only heiress to the Daehan Group. She falls for her aunt's plot and becomes the center of a controversy after beating up a person in the middle of the city. Mi-ho is sent to Jeju Island until things quiet down, but she comes across a lust demon in a wedding dress.</p>
3rd row<p>Not only was Mi-ho chased twice by lust demons, but the police are now also treating her like a drug user. She is trying to come up with a plan to escape Jeju Island and go back to Seoul. But before she could get on a plane, she ended up in a life-threatening car chase with a lust demon.</p>
4th row<p>Mi-na receives an absurd reply to a message sent to Woo-jae by mistake. Meanwhile, Hee-jae has a big fight with Hyun-woo over masturbation. Hee-jae different from before is a change caused by hormones?</p>
5th row<p>Mi-na and Woo-jae realize they have the same physical needs and decide to become partners. Meanwhile, Hee-jae accidentally drinks with In-chan and borrows her liquid courage to make a shocking proposal to him.</p>
ValueCountFrequency (%)
a 97
 
4.3%
the 86
 
3.8%
and 83
 
3.7%
to 76
 
3.4%
of 34
 
1.5%
with 32
 
1.4%
her 28
 
1.2%
in 28
 
1.2%
for 24
 
1.1%
on 19
 
0.8%
Other values (1083) 1733
77.4%
2023-08-05T22:03:58.140293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2155
15.8%
e 1259
 
9.2%
a 926
 
6.8%
t 854
 
6.3%
n 767
 
5.6%
o 748
 
5.5%
s 743
 
5.5%
i 706
 
5.2%
r 655
 
4.8%
h 493
 
3.6%
Other values (70) 4322
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 10182
74.7%
Space Separator 2157
 
15.8%
Uppercase Letter 439
 
3.2%
Other Punctuation 424
 
3.1%
Math Symbol 348
 
2.6%
Dash Punctuation 45
 
0.3%
Decimal Number 32
 
0.2%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1259
12.4%
a 926
 
9.1%
t 854
 
8.4%
n 767
 
7.5%
o 748
 
7.3%
s 743
 
7.3%
i 706
 
6.9%
r 655
 
6.4%
h 493
 
4.8%
l 385
 
3.8%
Other values (20) 2646
26.0%
Uppercase Letter
ValueCountFrequency (%)
D 47
 
10.7%
S 40
 
9.1%
A 39
 
8.9%
P 33
 
7.5%
L 25
 
5.7%
T 24
 
5.5%
M 22
 
5.0%
H 20
 
4.6%
J 20
 
4.6%
R 19
 
4.3%
Other values (16) 150
34.2%
Other Punctuation
ValueCountFrequency (%)
. 174
41.0%
, 94
22.2%
/ 87
20.5%
' 54
 
12.7%
! 5
 
1.2%
" 4
 
0.9%
? 3
 
0.7%
; 2
 
0.5%
1
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 10
31.2%
2 7
21.9%
9 4
 
12.5%
1 4
 
12.5%
3 3
 
9.4%
8 2
 
6.2%
5 1
 
3.1%
4 1
 
3.1%
Space Separator
ValueCountFrequency (%)
2155
99.9%
  2
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 174
50.0%
> 174
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
86.7%
6
 
13.3%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 10621
77.9%
Common 3007
 
22.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1259
11.9%
a 926
 
8.7%
t 854
 
8.0%
n 767
 
7.2%
o 748
 
7.0%
s 743
 
7.0%
i 706
 
6.6%
r 655
 
6.2%
h 493
 
4.6%
l 385
 
3.6%
Other values (46) 3085
29.0%
Common
ValueCountFrequency (%)
2155
71.7%
. 174
 
5.8%
< 174
 
5.8%
> 174
 
5.8%
, 94
 
3.1%
/ 87
 
2.9%
' 54
 
1.8%
- 39
 
1.3%
0 10
 
0.3%
2 7
 
0.2%
Other values (14) 39
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13600
99.8%
None 21
 
0.2%
Punctuation 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2155
15.8%
e 1259
 
9.3%
a 926
 
6.8%
t 854
 
6.3%
n 767
 
5.6%
o 748
 
5.5%
s 743
 
5.5%
i 706
 
5.2%
r 655
 
4.8%
h 493
 
3.6%
Other values (62) 4294
31.6%
None
ValueCountFrequency (%)
ú 8
38.1%
é 6
28.6%
Á 2
 
9.5%
  2
 
9.5%
á 2
 
9.5%
ë 1
 
4.8%
Punctuation
ValueCountFrequency (%)
6
85.7%
1
 
14.3%

Interactions

2023-08-05T22:03:47.793155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:45.238260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:45.800795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:46.456498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:47.194201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:47.919556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:45.347192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:45.920580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:46.587629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:47.345627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:48.048767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:45.460294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:46.039018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:46.737301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:47.467298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:48.175273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:45.576236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:46.169321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:46.883391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:47.575177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:48.284553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:45.680504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:46.302263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:47.015985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T22:03:47.677720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T22:03:58.465328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetype
id1.0000.5900.003-0.015-0.3000.000
id_embedded0.5901.000-0.544-0.173-0.0950.191
season0.003-0.5441.0000.138-0.0320.000
number-0.015-0.1730.1381.000-0.0161.000
runtime-0.300-0.095-0.032-0.0161.0000.000
type0.0000.1910.0001.0000.0001.000

Missing values

2023-08-05T22:03:48.486186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T22:03:48.786678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T22:03:48.982053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
0245559859201https://www.tvmaze.com/episodes/2455598/restoran-po-ponatiam-s02-special-restoran-po-ponatiam-bednyj-oligarhРесторан по понятиям: Бедный олигарх2NaNinsignificant_special2022-12-302022-12-30T00:00:00+00:0050.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/437/1092573.jpghttps://static.tvmaze.com/uploads/images/original_untouched/437/1092573.jpghttps://api.tvmaze.com/episodes/2455598https://api.tvmaze.com/shows/59201None
1245559663188https://www.tvmaze.com/episodes/2455596/bednyj-oligarh-s01-special-restoran-po-ponatiam-bednyj-oligarhРесторан по понятиям: Бедный олигарх1NaNinsignificant_special2022-12-302022-12-30T00:00:00+00:0050.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/437/1092574.jpghttps://static.tvmaze.com/uploads/images/original_untouched/437/1092574.jpghttps://api.tvmaze.com/episodes/2455596https://api.tvmaze.com/shows/63188None
2245830764335https://www.tvmaze.com/episodes/2458307/martyskiny-1x21-mamina-vecerinkaМамина вечеринка121.0regular2022-12-302022-12-30T00:00:00+00:007.0NoneNoneNonehttps://api.tvmaze.com/episodes/2458307https://api.tvmaze.com/shows/64335None
3245830864335https://www.tvmaze.com/episodes/2458308/martyskiny-1x22-taksi-semejkaТакси - семейка.122.0regular2022-12-302022-12-30T00:00:00+00:007.0NoneNoneNonehttps://api.tvmaze.com/episodes/2458308https://api.tvmaze.com/shows/64335None
4252174267998https://www.tvmaze.com/episodes/2521742/engineering-reborn-1x06-episode-6Episode 616.0regular2022-12-302022-12-30T01:00:00+00:0043.0NoneNoneNonehttps://api.tvmaze.com/episodes/2521742https://api.tvmaze.com/shows/67998<p>First constructed in the 1930s, the West Side Line, an elevated viaduct section of the New York Central Railroad, was abandoned in the 1980s.</p>
5244548954894https://www.tvmaze.com/episodes/2445489/wanmei-shijie-1x91-episode-91Episode 91191.0regular2022-12-3010:002022-12-30T02:00:00+00:0020.0NoneNoneNonehttps://api.tvmaze.com/episodes/2445489https://api.tvmaze.com/shows/54894None
6246363955019https://www.tvmaze.com/episodes/2463639/supreme-god-emperor-1x235-episode-235Episode 2351235.0regular2022-12-3010:002022-12-30T02:00:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2463639https://api.tvmaze.com/shows/55019None
7233073462143https://www.tvmaze.com/episodes/2330734/against-the-sky-supreme-1x158-episode-158Episode 1581158.0regular2022-12-3010:002022-12-30T02:00:00+00:007.0NoneNoneNonehttps://api.tvmaze.com/episodes/2330734https://api.tvmaze.com/shows/62143None
8251310563068https://www.tvmaze.com/episodes/2513105/jiu-tian-xuan-di-jue-3x18-episode-110Episode 110318.0regular2022-12-3010:002022-12-30T02:00:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2513105https://api.tvmaze.com/shows/63068None
9245026664582https://www.tvmaze.com/episodes/2450266/qi-refining-for-3000-years-1x14-episode-14Episode 14114.0regular2022-12-3011:002022-12-30T03:00:00+00:0017.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450266https://api.tvmaze.com/shows/64582None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
164247085066382https://www.tvmaze.com/episodes/2470850/bespoke-inns-1x04-the-madronaThe Madrona14.0regular2022-12-302022-12-30T17:00:00+00:0012.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/441/1104068.jpghttps://static.tvmaze.com/uploads/images/original_untouched/441/1104068.jpghttps://api.tvmaze.com/episodes/2470850https://api.tvmaze.com/shows/66382<p>An interior designer modernizes a historic California mansion with style.</p>
165247085166382https://www.tvmaze.com/episodes/2470851/bespoke-inns-1x05-blackberry-mountainBlackberry Mountain15.0regular2022-12-302022-12-30T17:00:00+00:009.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/441/1104069.jpghttps://static.tvmaze.com/uploads/images/original_untouched/441/1104069.jpghttps://api.tvmaze.com/episodes/2470851https://api.tvmaze.com/shows/66382<p>A family creates an adventure and wellness resort in the Smoky Mountains.</p>
166247089766387https://www.tvmaze.com/episodes/2470897/artfully-designed-1x01-charming-charlotte-bungalowCharming Charlotte Bungalow11.0regular2022-12-302022-12-30T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/441/1104160.jpghttps://static.tvmaze.com/uploads/images/original_untouched/441/1104160.jpghttps://api.tvmaze.com/episodes/2470897https://api.tvmaze.com/shows/66387<p>The team transforms one floor of a client's 1920s North Carolina bungalow.</p>
167247089866387https://www.tvmaze.com/episodes/2470898/artfully-designed-1x02-pool-house-flipPool House Flip12.0regular2022-12-302022-12-30T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/441/1104161.jpghttps://static.tvmaze.com/uploads/images/original_untouched/441/1104161.jpghttps://api.tvmaze.com/episodes/2470898https://api.tvmaze.com/shows/66387<p>Natalie, Racheal and Frankie transform a family's overlooked pool house.</p>
168247089966387https://www.tvmaze.com/episodes/2470899/artfully-designed-1x03-bespoke-bedroomsBespoke Bedrooms13.0regular2022-12-302022-12-30T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/441/1104162.jpghttps://static.tvmaze.com/uploads/images/original_untouched/441/1104162.jpghttps://api.tvmaze.com/episodes/2470899https://api.tvmaze.com/shows/66387<p>Natalie, Racheal and Frankie transform a primary bedroom and a kids' room.</p>
169247090066387https://www.tvmaze.com/episodes/2470900/artfully-designed-1x04-parents-space-kids-spaceParents' Space, Kids' Space14.0regular2022-12-302022-12-30T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/441/1104163.jpghttps://static.tvmaze.com/uploads/images/original_untouched/441/1104163.jpghttps://api.tvmaze.com/episodes/2470900https://api.tvmaze.com/shows/66387<p>A family of seven needs hangout spaces for the kids and their parents.</p>
170247090666388https://www.tvmaze.com/episodes/2470906/the-piece-maker-1x01-the-gateway-to-the-wildThe Gateway to the Wild11.0regular2022-12-302022-12-30T17:00:00+00:0024.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/441/1104176.jpghttps://static.tvmaze.com/uploads/images/original_untouched/441/1104176.jpghttps://api.tvmaze.com/episodes/2470906https://api.tvmaze.com/shows/66388<p>Eric traverses the great Alaskan wilderness to research his next puzzle.</p>
171253687668441https://www.tvmaze.com/episodes/2536876/obey-me-2x12-closing-partyClosing Party212.0regular2022-12-302022-12-30T17:00:00+00:005.0NoneNoneNonehttps://api.tvmaze.com/episodes/2536876https://api.tvmaze.com/shows/68441None
17224502228035https://www.tvmaze.com/episodes/2450222/bettys-diagnose-9x15-einbrucheEinbrüche915.0regular2022-12-3019:252022-12-30T18:25:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450222https://api.tvmaze.com/shows/8035None
173245692363742https://www.tvmaze.com/episodes/2456923/paula-mcintyres-hamely-kitchen-s02-special-paula-mcintyres-hamely-hogmanayPaula McIntyre's Hamely Hogmanay2NaNsignificant_special2022-12-3019:302022-12-30T19:30:00+00:0029.0NoneNoneNonehttps://api.tvmaze.com/episodes/2456923https://api.tvmaze.com/shows/63742<p>It's Hogmanay in the Hamely Kitchen. Chef Paula McIntyre is celebrating Auld Year's Nicht with a delicious festive supper.</p><p>On the menu is a warming bowl of cock-a-leekie soup. Paula doesn't do things by halves, so her version involves poaching a whole chicken, which leaves the meat beautifully tender. As Paula says, if you're harbouring any new year's resolutions, this broth, full of leeks and barley and parsley, will get you off to a great start.</p><p>Hogmanay wouldn't be Hogmanay without whisky, so Paula is off to Islay, where her ancestors are from, on a whisky pilgrimage. Joining her is whisky buff Lee Gibson. After a bumpy crossing from Portstewart to Port Ellen, they travel to Kilchoman Distillery in the west of the island. The journey proves to be worth it as they sample some whiskies made using traditional methods.</p><p>Back in the kitchen, Paula adds whisky to her next two dishes. For main course, she makes a malt and whisky lacquered duck with potato pancakes and a burnt apple sauce. For dessert, she shares her recipe for clootie dumpling, a traditional Scottish dish with a scoop of whisky-infused cream.</p><p>Along the way, Paula also reveals some of the Ulster-Scots traditions associated with Hogmanay. For example, there's first-footing, where the first visitor after midnight should always be a dark-haired man bearing gifts to ensure a warm and lucky year ahead.</p>